AI Agents are the future. Companies are moving fast toward autonomous, goal-driven Agentic AI systems. This course teaches you exactly how to build those real AI agents using AWS Bedrock, LLMs, Actions, and Knowledge Bases, by solving real world business use case in support, operations, IT. If you want hands-on, practical Agentic AI skills (not theory), this is the course designed for you.

1 – Why Choose this course:

You won’t just learn prompts — you’ll learn real Agentic AI:

• How LLMs become agents

• How agents use tools and actions

• How to integrate knowledge sources

• How to deploy everything on AWS Bedrock

Clear teaching. Practical demos. Real agent builds. This is not a “watch and learn” course — it’s “build as you learn”.

2 – Why Agentic AI Matters:

• LLMs can answer questions — but agents can take actions, make decisions, use tools, and work autonomously.

• This is the next major shift in AI, and it’s already transforming development, QA, automation, and cloud engineering.

• In this course, you’ll learn how agents think, act, plan, and use tools — all through clear, beginner-friendly, step-by-step lessons.

3 – What You’ll Learn:

• Core concepts of Agentic AI, autonomous agents, and multi-agent systems

• Build your first AI agent from scratch

• Create Knowledge Bases and connect them to your agents

• Configure Tools, Actions, and Action Groups for autonomous execution

• Use AWS Bedrock to implement real agent workflows

• Test, refine, and improve agent behaviour through practical, hands-on examples

• Apply prompt engineering best practices to improve agent reasoning

• Understand how custom agents can be used across business functions

• Responsible AI for ethical and safe development guidelines for enterprise AI systems

• Everything is simplified, practical, and designed for absolute beginners.

4 – Hands-On Focus:

You will build:

• Working agent frameworks

• Knowledge-powered agents

• Action-enabled autonomous workflows

• A complete hands-on assignment with guided steps

5 – Requirements:

• Basic Python skills (just beginner level)

• An AWS account (mostly free-tier access; small usage costs may occur)

• No prior AI or LLM knowledge required.

6 – Who Should Take This Course:

• Beginners who want to learn Agentic AI in a simple, practical way

• Developers, QA engineers, cloud engineers, and data professionals exploring real agent workflows

• Anyone wanting to build and deploy AI Agents, custom LLM-powered actions, or business-ready AI automations

Start Building the Future – Agentic AI is the direction AI development is heading.

If you want practical, job-ready skills in this new era, this course will get you there step-by-step.

Enroll now and start building real AI Agents with Agentic AI and AWS Bedrock.

Who this course is for:

• Beginners who want to understand and build Agentic AI systems through simple, practical explanations
• Software developers, QA engineers, data professionals, and tech leaders exploring real-world AI agent workflows
• Professionals looking to build, extend, and deploy AI agents, custom solutions or business-ready AI automations